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The SaferAI for Children Coalition, a national alliance of child protection organisations, academic experts, and law enforcement agencies led by ICMEC Australia, is calling on the Australian Government to act urgently on the growing risks of AI-facilitated child sexual exploitation. The SaferAI Coalition urges that child protection remain a central policy priority in Australia’s AI strategy and calls for expert consultation and immediate action to ensure AI is a tool for safety, not exploitation.
With more than 1 in 4 Australians (Australian Child Maltreatment Study) having experienced sexual abuse in childhood, the prevalence of this crime is undeniable and at epidemic proportions. AI is making it easier for offenders to exploit children and harder for law enforcement to intervene.
“AI is being weaponised to harm children, and Australia must act swiftly to prevent these technologies from outpacing our systems of protection,” said Colm Gannon, CEO of ICMEC Australia. “We’re proud to lead this coalition and work across sectors to protect children in a rapidly evolving digital environment.”
As AI-facilitated child exploitation escalates, from the creation of AI-generated abuse material to automated grooming, Australia has a critical opportunity to lead the global response to these complex crimes. By building on our strong foundations in child protection and online safety, we can shape a new international standard for how technology is harnessed to keep children safe — one grounded in innovation, responsibility, and ethical design.
The National Centre for Missing and Exploited Children (NCMEC) reported a 1,325% increase in reports involving GenAI, from 4,700 in 2023 to 67,000 in 2024. The scale of this issue is rapidly growing and, without intervention, will become even harder to control.
The letter calls for urgent action: making child protection in the AI era a national priority; working with the SaferAI for Children Coalition on tech-informed solutions; investing in AI tools for prevention and , detection; boosting education and legal reform; and leading global efforts to set child safety standards in AI.
This call to action follows the SaferAI Coalition’s widely welcomed 2024 discussion paper, which laid the groundwork for these recommendations.
Australia must act decisively to prevent AI from becoming another tool for harm. “If we fail to act now, this problem will only escalate. But if we lead, Australia can set a global benchmark for ethical AI and child protection.” Colm Gannon, CEO, ICMEC Australia.
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For more information, please contact:
Elisabeth Drysdale edrysdale@icmec.org.au Ph: 0414 390 740
Protecting children in the digital age has never been more crucial. The rapid advancements in Generative AI bring the promise of significant societal benefits, yet also present new risks. Developed in collaboration by the SaferAI for Children Coalition - a group of child protection organisations, academic experts, law enforcement agencies, and other public sector partners - this paper offers a comprehensive exploration of both the opportunities and challenges AI presents for child safety, and what this looks like in an Australian context.
We examine the ways AI-enabled tools can be misused for child sexual exploitation, but also highlight how AI can be a powerful force for good - detecting harmful content, aiding in investigations, and protecting vulnerable children. This discussion paper is a call to action and a guide, advocating for responsible use of AI to protect children and ensure that technology enhances rather than threatens their safety.
Download the SaferAI for Children coalition's, inaugural discussion paper to learn more about how we can collaborate to leverage AI's potential for a safer digital environment for all children.
To learn more about the work ICMEC Australia do, visit our research page.
ICMEC Australia acknowledges Traditional Owners throughout Australia and their continuing connection to lands, waters and communities. We pay our respects to Aboriginal and Torres Strait Islanders, and Elders past and present.
